Machine learning approaches to sentiment analytics
One key aspect of sentiment analytics is emotion classification. This research studies the use of machine learning approaches to classify human emotion. Two different machine learning approaches were compared in an experimental study. In one approach, emotions from both genders were used to train th...
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sg-smu-ink.sis_research-104102024-10-25T08:44:12Z Machine learning approaches to sentiment analytics ZHAO, W. SIAU, Keng One key aspect of sentiment analytics is emotion classification. This research studies the use of machine learning approaches to classify human emotion. Two different machine learning approaches were compared in an experimental study. In one approach, emotions from both genders were used to train the machine. In another approach, genders were separated and two separate machines were used to learn the emotions of the two genders. We also manipulated the training sample sizes and study the effect of training sample sizes on the two machine learning approaches. Our preliminary results show that the approach where the genders were separated produces a higher accuracy in classifying emotions. We also observe that training sample sizes have different impact on the two approaches. 2017-05-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9410 https://ink.library.smu.edu.sg/context/sis_research/article/10410/viewcontent/Machine_Learning_Approaches_to_Sentiment_Analytics.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Sentiment Analytics Emotion classification Machine Learning Artificial Intelligence and Robotics Databases and Information Systems |
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Sentiment Analytics Emotion classification Machine Learning Artificial Intelligence and Robotics Databases and Information Systems ZHAO, W. SIAU, Keng Machine learning approaches to sentiment analytics |
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One key aspect of sentiment analytics is emotion classification. This research studies the use of machine learning approaches to classify human emotion. Two different machine learning approaches were compared in an experimental study. In one approach, emotions from both genders were used to train the machine. In another approach, genders were separated and two separate machines were used to learn the emotions of the two genders. We also manipulated the training sample sizes and study the effect of training sample sizes on the two machine learning approaches. Our preliminary results show that the approach where the genders were separated produces a higher accuracy in classifying emotions. We also observe that training sample sizes have different impact on the two approaches. |
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ZHAO, W. SIAU, Keng |
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ZHAO, W. SIAU, Keng |
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ZHAO, W. |
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Machine learning approaches to sentiment analytics |
title_short |
Machine learning approaches to sentiment analytics |
title_full |
Machine learning approaches to sentiment analytics |
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Machine learning approaches to sentiment analytics |
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Machine learning approaches to sentiment analytics |
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machine learning approaches to sentiment analytics |
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Institutional Knowledge at Singapore Management University |
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2017 |
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https://ink.library.smu.edu.sg/sis_research/9410 https://ink.library.smu.edu.sg/context/sis_research/article/10410/viewcontent/Machine_Learning_Approaches_to_Sentiment_Analytics.pdf |
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